googleearthplot

Python library for plotting on google earth

Galleries

Requirements

simplekml

• Overview SIMPLEKML 1.2.8 documentation

pandas

• Python Data Analysis Library pandas: Python Data Analysis Library

Google Earth (Pro)

• Google Earth

install:

from the upper link

Install

You can install to use pip:

sudo pip install googleearthplot

Usages

This library generates a kml file for plot as below.

First of all, import the lib:

from googleearthplot.googleearchplot import googleearthplot

The import code depends on the script path which use googleearchplot.

Point plot

A point plot is created like this:

#Plot point
lon=18.333868#degree
lat=-34.038274#degree
gep9=googleearthplot()
gep9.PlotPoints(lat,lon,"point")
gep9.GenerateKMLFile(filepath="sample9.kml")

Then, you can see

Of course, you can plot mutipul points.

# Plot point chart
gep10 = googleearthplot()
lat = [ -77.6192, -77.6195, -77.6198, -77.6208, -77.6216]
lon = [43.1725, 43.1728, 43.173, 43.1725, 43.1719, 43.1719]
for (ilat,ilon) in zip(lat,lon):
    gep10.PlotPoints(ilat, ilon, "point")
gep10.GenerateKMLFile(filepath="sample10.kml")

A bar plot

You can plot a bar chart like:

#A bar plot 
gep1=googleearthplot()
lat=18.333868#degree
lon=-34.038274#degree
num=100 #bar height size
size=1  #meter
name="barsample"
color="red"
gep1.PlotBarChart(lat,lon,num,size,name,color);
gep1.GenerateKMLFile(filepath="sample1.kml")

If you click the generated kml file,

you can see the plot on Google Earth.

The addLabel flag is on,

PlotBarChart(lat,lon,num,size,name,color,addLabel=True)

you can add labels on the plot

Bar plots from csv data

You can plot bar charts from a csv file like:

#bar plot from csv
gep=googleearthplot()
gep.PlotBarChartsFromCSV("barchartsampledata.csv")
gep.GenerateKMLFile(filepath="sample2.kml")

you can see plots when you click the generated kml file.

The CSV file format should be like the sample file:

• barchartsampledata.csv

Line plot

You can plot a line chart:

#Plot line chart
gep2=googleearthplot()
lat=[-77.6192,-77.6192,-77.6195,-77.6198,-77.6208,-77.6216,-77.6216,-77.6216]
lon=[43.1725,43.1725,43.1728,43.173,43.1725,43.1719,43.1719,43.1719,43.1719]
gep2.PlotLineChart(lat, lon, name="trajectory",color="pink")
gep2.GenerateKMLFile(filepath="sample3.kml")

Then, you can see:

Line plot with height

You can plot a line chart with height data:

#Plot line chart with height
gep3=googleearthplot()
lat=[-77.6192,-77.6192,-77.6195,-77.6198,-77.6208,-77.6216]
lon=[43.1725,43.1725,43.1728,43.173,43.1725,43.1719,43.1719]
height=[10,40,60,80,100,120,140]
gep3.PlotLineChart(lat, lon, heightList=height, name="trajectory2",color="aqua")
gep3.GenerateKMLFile(filepath="sample4.kml")

you can see:

Line plot from csv file

You can plot the line chart from a csv file:

#line plot from csv file
gep4=googleearthplot()
gep4.PlotLineChartFromCSV("sampledata/lineplotsampledata.csv", name="trajectory3", color="gold", width=10)
gep4.GenerateKMLFile(filepath="sample5.kml")

you can get the image:

Check the csv file format

• lineplotsampledata.csv

Line plot with height from csv file

You can plot the line chart with height from a csv file:

#line plot from csv file with height
gep5=googleearthplot()
gep5.PlotLineChartFromCSV("sampledata/lineplotsampledata2.csv", name="trajectory4", color="orange", width=10)
gep5.GenerateKMLFile(filepath="sample6.kml")

you can get:

see the csv sample file

lineplotsampledata2.csv

Plot Overlay Image

You can plot a overlay image (logo, etc.)

#Plot overlay image sample
gep8=googleearthplot()
gep8.PlotOverlayImg("img/samplelogo.png",200,300,name="logo")
gep8.GenerateKMLFile(filepath="sample8.kml")

This is a sample screenshot:

Color options

You can choose a color option from belows:

'aliceblue', 'antiquewhite', 'aqua', 'aquamarine', 'azure', 'beige', 'bisque', 'black', 'blanchedalmond', 'blue', 'blueviolet', 'brown', 'burlywood', 'cadetblue', 'changealpha', 'changealphaint', 'chartreuse', 'chocolate', 'coral', 'cornflowerblue', 'cornsilk', 'crimson', 'cyan', 'darkblue', 'darkcyan', 'darkgoldenrod', 'darkgray', 'darkgreen', 'darkgrey', 'darkkhaki', 'darkmagenta', 'darkolivegreen', 'darkorange', 'darkorchid', 'darkred', 'darksalmon', 'darkseagreen', 'darkslateblue', 'darkslategray', 'darkslategrey', 'darkturquoise', 'darkviolet', 'deeppink', 'deepskyblue', 'dimgray', 'dimgrey', 'dodgerblue', 'firebrick', 'floralwhite', 'forestgreen', 'fuchsia', 'gainsboro', 'ghostwhite', 'gold', 'goldenrod', 'gray', 'green', 'greenyellow', 'grey', 'hex', 'hexa', 'honeydew', 'hotpink', 'indianred', 'indigo', 'ivory', 'khaki', 'lavender', 'lavenderblush', 'lawngreen', 'lemonchiffon', 'lightblue', 'lightcoral', 'lightcyan', 'lightgoldenrodyellow', 'lightgray', 'lightgreen', 'lightgrey', 'lightpink', 'lightsalmon', 'lightseagreen', 'lightskyblue', 'lightslategray', 'lightslategrey', 'lightsteelblue', 'lightyellow', 'lime', 'limegreen', 'linen', 'magenta', 'maroon', 'mediumaquamarine', 'mediumblue', 'mediumorchid', 'mediumpurple', 'mediumseagreen', 'mediumslateblue', 'mediumspringgreen', 'mediumturquoise', 'mediumvioletred', 'midnightblue', 'mintcream', 'mistyrose', 'moccasin', 'navajowhite', 'navy', 'oldlace', 'olive', 'olivedrab', 'orange', 'orangered', 'orchid', 'palegoldenrod', 'palegreen', 'paleturquoise', 'palevioletred', 'papayawhip', 'peachpuff', 'peru', 'pink', 'plum', 'powderblue', 'purple', 'red', 'rgb', 'rosybrown', 'royalblue', 'saddlebrown', 'salmon', 'sandybrown', 'seagreen', 'seashell', 'sienna', 'silver', 'skyblue', 'slateblue', 'slategray', 'slategrey', 'snow', 'springgreen', 'steelblue', 'tan', 'teal', 'thistle', 'tomato', 'turquoise', 'violet', 'wheat', 'white', 'whitesmoke', 'yellow', 'yellowgreen'

Licence

MIT

PyPI page

googleearthplot

Author

AtsushiSakai